Reproducibility

Meta-research and Innovation in how research is verified

Meta-Research in the area of Reproducibility aims at deepening our understanding of what is and what determines the reproducibility of a study and scientific self-correction. Studies in this area may include:

Directly assessing the reproducibility and replicability of results

Identifying factors predicting the reproducibility of a study, including the prevalence of questionable scientific practices

Measuring prevalence, compliance and effectiveness of transparency policies and practices for sharing data and methods

Assessing the prevalence, causes and consequences of corrections and retractions of the scientific literature

Innovation seeks to improve replication and self-correction and to increase the reliability of published results, for example by:

Developing new theoretical and empirical methods to estimate the false-positive rate and the reproducibility of findings

Improving the reproducibility of research, for example by developing new policies and practical tools to share data and methods